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Record W2265388694

Improving the Judicial Review of Common-Law Argumentation

2008· article· en· W2265388694 on OpenAlexaff
Ryan Patrick Alford

Bibliographic record

VenueSSRN Electronic Journal · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsLakehead University
Fundersnot available
KeywordsArgumentation theoryDialecticNormativeRhetoricConstructiveEpistemologyLegal practicePolitical scienceSociologyLawDimension (graph theory)PhilosophyComputer scienceMathematicsLinguistics
DOInot available

Abstract

fetched live from OpenAlex

American scholars of legal rhetoric have taken a position on the disconnectedness between normative legal theory and legal practice, particularly the practice of forensic oratory, which must be addressed before pragma-dialectical argumentation theorists can move forward to concrete and constructive engagement with American legal theorists. This engagement could provide benefits and insights to both parties, espcially because of the structural similarity between the prescriptive dimension of dialectical argumentation theory and the procedural norms of the common law. In particular, pragma-dialectical argumentation theory might prove helpful to jurists seeking a more effective approach to the 'harmless error analysis' of courtroom argumentation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.275
metaresearch head score (Gemma)0.606
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.275
Threshold uncertainty score0.895

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2750.606
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0190.008
Science and technology studies0.0070.007
Scholarly communication0.0180.021
Open science0.0060.010
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0060.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.294
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2008
Admission routes1
Has abstractyes

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